GoPro Stock Forecast - Triple Exponential Smoothing

GPRO Stock  USD 1.22  0.02  1.67%   
The Triple Exponential Smoothing forecasted value of GoPro Inc on the next trading day is expected to be 1.21 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.60. GoPro Stock Forecast is based on your current time horizon. Although GoPro's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of GoPro's systematic risk associated with finding meaningful patterns of GoPro fundamentals over time.
  
As of the 24th of November 2024, Asset Turnover is likely to grow to 1.58, while Inventory Turnover is likely to drop 4.53. . As of the 24th of November 2024, Net Income Applicable To Common Shares is likely to grow to about 34.8 M, while Common Stock Shares Outstanding is likely to drop about 153 M.
Triple exponential smoothing for GoPro - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When GoPro prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in GoPro price movement. However, neither of these exponential smoothing models address any seasonality of GoPro Inc.

GoPro Triple Exponential Smoothing Price Forecast For the 25th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of GoPro Inc on the next trading day is expected to be 1.21 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.60.
Please note that although there have been many attempts to predict GoPro Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that GoPro's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

GoPro Stock Forecast Pattern

Backtest GoProGoPro Price PredictionBuy or Sell Advice 

GoPro Forecasted Value

In the context of forecasting GoPro's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. GoPro's downside and upside margins for the forecasting period are 0.01 and 5.37, respectively. We have considered GoPro's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
1.22
1.21
Expected Value
5.37
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of GoPro stock data series using in forecasting. Note that when a statistical model is used to represent GoPro stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors -0.0082
MADMean absolute deviation0.0441
MAPEMean absolute percentage error0.0326
SAESum of the absolute errors2.6009
As with simple exponential smoothing, in triple exponential smoothing models past GoPro observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older GoPro Inc observations.

Predictive Modules for GoPro

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GoPro Inc. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
0.061.225.37
Details
Intrinsic
Valuation
LowRealHigh
0.112.176.32
Details
3 Analysts
Consensus
LowTargetHigh
4.695.155.72
Details

Other Forecasting Options for GoPro

For every potential investor in GoPro, whether a beginner or expert, GoPro's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. GoPro Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in GoPro. Basic forecasting techniques help filter out the noise by identifying GoPro's price trends.

GoPro Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with GoPro stock to make a market-neutral strategy. Peer analysis of GoPro could also be used in its relative valuation, which is a method of valuing GoPro by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

GoPro Inc Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of GoPro's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of GoPro's current price.

GoPro Market Strength Events

Market strength indicators help investors to evaluate how GoPro stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading GoPro shares will generate the highest return on investment. By undertsting and applying GoPro stock market strength indicators, traders can identify GoPro Inc entry and exit signals to maximize returns.

GoPro Risk Indicators

The analysis of GoPro's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in GoPro's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting gopro stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Pair Trading with GoPro

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if GoPro position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in GoPro will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to GoPro could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GoPro when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back GoPro - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling GoPro Inc to buy it.
The correlation of GoPro is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as GoPro moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GoPro Inc moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for GoPro can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether GoPro Inc offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of GoPro's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Gopro Inc Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Gopro Inc Stock:
Check out Historical Fundamental Analysis of GoPro to cross-verify your projections.
You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
Is Consumer Electronics space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of GoPro. If investors know GoPro will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about GoPro listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
(0.94)
Earnings Share
(2.61)
Revenue Per Share
5.891
Quarterly Revenue Growth
(0.12)
Return On Assets
(0.07)
The market value of GoPro Inc is measured differently than its book value, which is the value of GoPro that is recorded on the company's balance sheet. Investors also form their own opinion of GoPro's value that differs from its market value or its book value, called intrinsic value, which is GoPro's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because GoPro's market value can be influenced by many factors that don't directly affect GoPro's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between GoPro's value and its price as these two are different measures arrived at by different means. Investors typically determine if GoPro is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, GoPro's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.